3.7.5 Normality Test
This test was used to measure whether the data in two classes were normally distribution or not. The data were tested by One-sample Kolmogorov-Smirnov
Formula SPSS 17.00.
Hypothesis for the normality test were as follows: H
= the data is distributed normally H
1
= the data is not distributed normally The criteria are as follows:
H is accepted if significant value exceeds level of significance at 0.05,
meanwhile, H
is rejected if significant value does not exceed level of significance at 0.05.
3.8 Data Analysis
Analyzing data was very important part of the research process. These patterns helped a researcher to identify findings from the study. By analyzing the data
throughout the collection period, the researcher was able to begin and interpret what was occurred in classroom and the truth of students’ activities and the effects
of reciprocal teaching technique are implemented. After the researcher collected the data from reading test, the researcher was scoring the test.
In analyzing the data, the researcher was scoring pretest and posttest and drawing conclusion into the tabulated result of the pretest and posttest using statistical
computerization i.e. Repeated Measure T-Test of Statistical Package for Social Science SPSS 17.00 for windows to test whether progress of students’ gain was
significant or not, in which the significant was determine by p 0.05 Hatch and Farhady, 1982: 114.
3.9 Hypothesis Testing
H :
There is no difference of students’ reading comprehension achievement before and after being taught through reciprocal teaching technique.
H
ı
: There is a difference of students’ reading comprehension achievement
before and after being taught through reciprocal teaching technique. The hypothesis was analyzed by using Matched T-Test with Statistical Package
for Social Science SPSS version 17.00. The level of significant is 0.05, and the probability of error in the hypothesis is 5.
The criteria for accepting the hypothesis are as follows: 1.
H is accepted if the t-table is higher than t-ratio.
It means that there is no significant difference on students’ reading comprehension achievement before and after giving pre questioning,
specifically in terms of literal, interpretative and critical comprehension.
2. H
is rejected if the t-table is lower than t-ratio. It means that there is significant difference on students’ reading
comprehension achievement before and after giving pre questioning, specifically in terms of literal, interpretative and critical comprehension.
Kategori